AI Threat Alert
AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 826 results — has patch GHSA-g344-hcph-8vgg picklescan: scanner bypass enables RCE in ML pipelines — — picklescan Aug 26 MEDI GHSA-5qwp-399c-mjwf picklescan: bypass enables undetected RCE in ML models — — picklescan Aug 26 HIGH E CVE-2025-5302 llama-index: JSON parsing DoS via deep recursion 8.6 0.3% llama-index-core Aug 26 HIGH E CVE-2025-57809 xgrammar: uncontrolled recursion in grammar parsing causes DoS 7.5 0.4% xgrammar Aug 25 MEDI GHSA-vv6j-3g6g-2pvj picklescan: PyTorch gadget bypasses scanner, enables RCE — — picklescan Aug 22 MEDI GHSA-vr7h-p6mm-wpmh picklescan: PyTorch gadget bypasses pickle RCE detection — — picklescan Aug 22 MEDI GHSA-h3qp-7fh3-f8h4 picklescan: detection bypass via PyTorch proxy RCE — — picklescan Aug 22 MEDI GHSA-f745-w6jp-hpxx picklescan: RCE bypass via torch.utils.collect_env — — picklescan Aug 22 MEDI GHSA-f4x7-rfwp-v3xw picklescan: scanner bypass enables RCE via PyTorch function — — picklescan Aug 22 MEDI GHSA-86cj-95qr-2p4f picklescan: detection bypass enables PyTorch model RCE — — picklescan Aug 22 MEDI GHSA-4r9r-ch6f-vxmx picklescan: PyTorch bypass allows undetected RCE — — picklescan Aug 22 HIGH CVE-2025-9141 vLLM: RCE via eval() in Qwen3 Coder tool parser 8.8 4.0% vllm Aug 21 HIGH GHSA-9gvj-pp9x-gcfr picklescan: detection bypass allows malicious pickle exec — — picklescan Aug 12 HIGH E CVE-2025-54886 skops: joblib fallback enables RCE via model load 8.4 0.2% skops Aug 8 CRIT CVE-2025-54951 ExecuTorch: heap buffer overflow RCE in model loading 9.8 0.6% executorch Aug 8 CRIT E CVE-2025-54950 ExecuTorch: OOB read in model loader enables RCE 9.8 0.6% executorch Aug 8 CRIT CVE-2025-30404 ExecuTorch: integer overflow RCE on model load 9.8 0.6% executorch Aug 8 CRIT CVE-2025-30405 ExecuTorch: integer overflow in model load → RCE 9.8 0.6% executorch Aug 8 CRIT CVE-2025-54949 ExecuTorch: heap buffer overflow RCE via model loading 9.8 0.6% executorch Aug 8 HIGH E CVE-2025-54413 skops: RCE via MethodNode unsafe deserialization — 0.1% skops Jul 26 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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